chore: Update inpainting pipeline configuration and parameters

configs/inpainting.yaml

@@ -1,37 +1,12 @@
-<<<<<<< HEAD
-segmentation_model : 'facebook/sam-vit-base'
-detection_model : 'yolov8s'
-model : 'kandinsky-community/kandinsky-2-2-decoder-inpaint'
-target_width : 2560
-target_height : 1472
-prompt : 'Product on the table 4k ultrarealistic'
-negative_prompt : 'low resolution , bad resolution , Deformation , Weird Artifacts, bad quality,blown up image, high brightness , high saturation '
-<<<<<<< HEAD
-<<<<<<< HEAD
-roi_scale : 0.9
-=======
-roi_scale : 0.5
->>>>>>> bb1cf42 (chore: Update inpainting pipeline configuration and parameters)
-=======
-roi_scale : 0.9
->>>>>>> cceaa9e (chore: Update roi_scale in inpainting.yaml and add gradio UI for SDXL LORA Inpainting)
-strength : 0.6
-guidance_scale : 7
-num_inference_steps : 150
-output_path : '../outputs'
-
-=======
-segmentation_model : 'facebook/sam-vit-large'
-detection_model : 'yolov8l'
-model : 'kandinsky-community/kandinsky-2-2-decoder-inpaint'
-target_width : 1920
-target_height : 1080
-prompt : 'product is on the kitchen floor , ultrarealistic lighting , commercial, award , winning photography'
-negative_prompt : 'low resolution , bad resolution'
-roi_scale : 0.5
-strength : 0.7
-guidance_scale : 7.5
-num_inference_steps : 600
-output_path : '../outputs'
->>>>>>> a817fb6 (chore: Update .gitignore and add new files for inpainting pipeline)
- 
+segmentation_model: 'facebook/sam-vit-large'
+detection_model: 'yolov8l'
+model: 'kandinsky-community/kandinsky-2-2-decoder-inpaint'
+target_width: 1920
+target_height: 1080
+prompt: 'product is on the kitchen floor , ultrarealistic lighting , commercial, award , winning photography'
+negative_prompt: 'low resolution , bad resolution'
+roi_scale: 0.5
+strength: 0.7
+guidance_scale: 7.5
+num_inference_steps: 600
+output_path: '../outputs'

scripts/api_utils.py

@@ -6,15 +6,11 @@ from PIL import Image, ImageOps
 from config import SEGMENTATION_MODEL_NAME, DETECTION_MODEL_NAME
 from diffusers.utils import load_image
 import gc
-<<<<<<< HEAD:scripts/api_utils.py
 from s3_manager import S3ManagerService
 import io
 from io import BytesIO
 import base64
 import uuid
-=======
-
->>>>>>> a817fb6 (chore: Update .gitignore and add new files for inpainting pipeline):scripts/utils.py
 
 
 
@@ -165,11 +161,7 @@ def pil_to_s3_json(image: Image.Image, file_name) -> dict:
 
 
 if __name__ == "__main__":
-<<<<<<< HEAD:scripts/api_utils.py
     augmenter = ImageAugmentation(target_width=1024, target_height=1024, roi_scale=0.5)
-=======
-    augmenter = ImageAugmentation(target_width=2560, target_height=1440, roi_scale=0.7)
->>>>>>> a817fb6 (chore: Update .gitignore and add new files for inpainting pipeline):scripts/utils.py
     image_path = "../sample_data/example3.jpg"
     image = Image.open(image_path)
     extended_image = augmenter.extend_image(image)

scripts/config.py

@@ -1,4 +1,3 @@
-<<<<<<< HEAD
 
 MODEL_NAME:str="stabilityai/stable-diffusion-xl-base-1.0"
 ADAPTER_NAME:str = "VikramSingh178/sdxl-lora-finetune-product-caption"
@@ -73,16 +72,3 @@ class Config:
         self.debug_loss = False
 
 
-=======
-LOGS_DIR = '../logs'
-Dataset_Name = "AlekseyKorshuk/product-photography-all"
-DATA_DIR = '../data'
-Project_Name = 'product_placement_api'
-entity = 'vikramxd'
-image_dir = '../sample_data'
-mask_dir = '../masks'
-controlnet_adapter_model_name= 'lllyasviel/control_v11p_sd15_inpaint'
-controlnet_base_model_name = "runwayml/stable-diffusion-inpainting"
-kandinsky_model_name = 'kandinsky-community/kandinsky-2-2-decoder-inpaint'
-video_model_name = 'stabilityai/stable-video-diffusion-img2vid-xt'
->>>>>>> 83cb224 (Update image and video pipelines)